最優解 的英文怎麼說
中文拼音 [zuìyōujiě]
最優解
英文
optimal solution-
On the basis of analyzing limitation of using penalty function method dealing with constraints, an amending method based on the knowlege regulating strategy is suggested to amende the mapping relationship of infeasible constraints in decoding, thus making the regulated individuals map into the space to obtain the most promising optimal solution
在分析懲罰函數法對約束處理效率較低的情況下，提出了一種基於知識調整策略的修正法，對解碼中不滿足約束的映射關系進行修正，使調整后個體映射到最有希望獲得最優解的空間中。The authenticity auditing in commercial bank credit assets quality
多因素資產組合模型及最優解存在性Adopting rational agent characteristic could add the auditor into corporate contract to educing optimum solution ; opening out the auditor incentive factors in auditing demand theory and the monitor mechanism of auditing. a multi - agent corporate model including the firm owner, the manager and the auditor of the corporate is analyzed in the paper, the conclusions are : educing the optimum solution of model which could prevent the manager and the auditor becoming collusive or skulked ; clarifying the relationship between monitoring of the firm owner and working of the auditor, and illustrating the behavior combination of optimum solution ; further analyzing the relationship among monitoring degree, punishment of auditor and the auditor risk. adapting the model from a single term to serial terms, and adding the non - monetary utility of auditor - - - reputation into the model ; describing behavior of the firm owner in reality and clarifying the necessity of monitoring by the owner and the environment improvements it needs
論文採用所有者經理人審計師多代理人模型為基礎進行分析，主要成果是：得出能夠防止共謀和不努力工作的模型最優解集合；通過因素分析闡明審計師工作努力程度與所有者監控力度之間的直接關系，以及審計合約最優解的行為策略組合及其制定順序；引申分析所有者監控力度與審計風險、審計師懲罰力度之間的關系；成功的將模型從單一期間擴展到多期間情況，並且將審計師聲譽等非現金收入形式的效用影響加入到模型當中；通過分析審計實務中的所有者行為特徵說明所有者對審計師工作實施監控的必要性，以及實現該監控所需的條件。Aiming at multiple frames video sequences with moving objects, a new image mosaic method imitating compound eyes is presented based on image ' s characteristic. now. some mosaic algorithms are local optimizing
兩種方法克服了現存的圖像拼合演算法只能得到局部最優解的缺點，對圖像樣本的要求大大降低，而且可以得到全優解。The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed
較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。In order to find out the best one within the final solutions, fuzzy comprehensive evaluation is introduced into the thesis
為了在幾個候選解中找到最優解，本論文引入了二級模糊綜合評判方法。Based on the ostwald - de waele equation, the leakage characteristics of power - law transmitted by helical gear pump are researched, and the leakage model of power - law in the clearence is founded, and - the velocity distributing and the leakage capacity are worked out by the boundary condition. the power loss of leakage is got through the clearence leakage capacity, and the friction power loss is attained by the velocity distributing. the mathematic calculation model
利用冪律流體本構方程，首次對聚合物流體在斜齒齒輪泵中的漏流特性進行了研究，建立冪律流體在間隙中的泄漏模型，利用邊界條件求出速度分佈及泄漏量；由間隙泄漏量得到漏流損失功率，由速度分佈得到流體摩擦功率損失，並得到間隙最優解的數值計算數學模型，同時給出實例及數值計算結果。The parameter control methods are very similar to penalty function methods, both of them are to solve constrained optimization problems by solving a series of sub - unconstrained optimization problems. but parameter control methods are different from penalty function methods. firstly, the penalty coefficient of penalty function methods are preassigned, while the parameters of parameter control methodsare generated automatically according to some rule prescribed
參數控制演算法雖然與罰函數法非常類似，都是通過求解一系列無約束極小化問題來逼近約束優化問題的最優解，但罰函數法中的罰因子是預先設定的，而參數控制演算法中的參數是自動產生的。The problem is high dimensions, non - protuberant, non - linear and mixed. it is hard to find optimal scheme
該問題是一個高維數、非凸的、非線性的混合優化問題，很難找到理論上的最優解。Determining the optimal solution set for linear programming in general form
一般形式線性規劃最優解集的確定The mdo provides a method that can improve product quality using the synergism in the engineering systems and reduce development time through the concurrency of system design
其目的是利用系統中的協同機制獲得系統整體最優解，通過并行設計來縮短設計周期。This paper develops a deterministic inventory model for perishable items with a mixture of back orders and lost sales under inflation and time discounting, where the backlogged demand rate is dependent on the negative inventory level during the stock out period. the main differences from the existing related models are that the present model takes the maximum present value of profit in a repeatable order cycle as the objective function and proposes a more practical constraint of maximum customer - waiting time to ensure a proper customer service level. then the existence and the uniqueness of the solution to relevant systems are examined and a solution algorithm is shown to find the optimal replenishment policy. at last, some numerical examples are presented to illustrate the applicatioh of the model
本文建立了一種考慮通貨膨脹與時間價值的變質性物品的庫存模型，在模型中允許短缺發生且拖后的需求速率與在缺貨期間已經發生的缺貨量有關.和已有相關模型的主要區別在於本模型把一個可重復的訂貨周期內的最大平均利潤的凈現值作為目標函數，且增加了在缺貨期間最長顧客等待時間的限制，以確保庫存系統擁有較高的服務水平.然後討論了模型最優解的存在性與唯一性，並提供了尋求模型整體最優解的演算法.最後用實例說明了此模型在實際中的應用Secondly, the multiple optimal solutions of transportation problem is sorted into numbered multiple optimal solutions and unnumbered multiple optimal solutions, furthermore, the theorem on judging of them are proposed
將運輸問題的多重最優解進一步劃分為有限多重最優解和無限多重最優解兩種情況，並分別給出了判定定理。As to planar visco - elastic prediction of settlement, this paper fixes on range of the back - calculation parameters range, analyzes back - calculation parameters which are indispensably in the course of anti - analysis. since it is difficult to acquire the optimization result in simultaneous back - calculation, this paper puts forward a calculation method which combined with investigation data and field experiment data to minimize the parameters to get optimization
（ 2 ）針對二維粘彈性沉降預測，確定了模型反演參數的取值范圍，對于多層軟土地基變量同時反演很難獲得最優解的問題，提出結合工程勘察和現場實驗以減少參數的方法獲得最優解。One is the bss based on kernel density estimation ( kde ) and genetic algorithm ( ga ), the other is the blind deconvolution based on high order cross cumulants and ga. without nlf, the performance of separation in both algorithms is independent with the kurtosis of the sources
兩種演算法的實現無需引入非線性函數，因此都與源信號的峭度性質無關;另外，選取全局搜索的遺傳演算法進行尋優，避免了梯度法搜索的局部性，使得演算法均能收斂到問題的全局最優解。We use genetic algorithm ( ga ) to realize agents " coalition formation. ga can reduce the cost of searching the optimal solution or quasi - optimal solution, and enhance the efficiency of the whole system
本文使用遺傳演算法來實現機器人聯盟形成，遺傳演算法能夠減少尋找最優解或可行解的開銷，從而提高整個系統的效率。But, generally, the number of the coalition structure is too large to realize the searching of all the coalition structures
但通常情況下可能的聯盟結構的數目太大，以致不允許進行窮盡搜索而找出最優解。Two methods are brought forward to obtain the optimal solution after gained the efficient solution : one is letting the non - discrimination of specific investor and the efficient borderline have a common tangent at a point, and this point is the optimal solution ; the other gains optimal solution basing on safety - first method
在得到有效解后，本文提出採用兩種方法來獲取最優解：第一種方法是採用特定投資者的無差異曲線與有效邊界相切的方法得到最優解；第二種方法是採用安全第一方法來獲得最優解。A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming
在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。分享友人